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Kdb Q Jobs (NOW HIRING)

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Key Responsibilities • Design, develop, and optimize KDB+ databases and q analytics for high-volume trading and market data. • Develop Python-based AI and quantitative models for research ...

... Q language syntax, data structures, datatypes • Proficiency in array-oriented programming • Knowledge on q-SQL and KDB specific joins. (asof/window) • Understanding of kdb+ database concepts ...

KDB+ Support Engineer Location: New York, NY Duration: Contract - 11 months Pay Range: $71.59/hr ... Develop and maintain Q code and utilities for data ingestion, querying, and analytics. Troubleshoot ...

KDB+ Consultant

New York, NY · On-site

$82K - $116K/yr

Required Skill and Experience • Understanding Q language syntax, data structures, datatypes • Proficiency in array-oriented programming • Knowledge on q-SQL and KDB specific joins. (asof/window ...

If you're a kdb+ developer ready to deepen your skills, contribute to impactful projects and grow ... Solid understanding of q language and time-series data structures. * Experience working in Unix ...

If you're a kdb+ developer ready to deepen your skills, contribute to impactful projects and grow ... Solid understanding of q language and time-series data structures. * Experience working in Unix ...

If you're a kdb+ developer ready to deepen your skills, contribute to impactful projects and grow ... Solid understanding of q language and time-series data structures. * Experience working in Unix ...

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Kdb Q information

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How much do kdb q jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for kdb q in the United States is $58.59, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $68.75 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Kdb Q position, and why are they important?

To thrive as a Kdb Q developer, you need strong expertise in the q programming language, time-series data analysis, and a solid background in computer science or mathematics. Familiarity with the kdb+ database, version control systems, and financial market data is typically required, and certifications in related technologies are a plus. Attention to detail, problem-solving abilities, effective communication, and the ability to work under pressure are crucial soft skills. These competencies ensure that Kdb Q professionals can deliver efficient, reliable solutions in fast-paced environments such as financial services and trading firms.

What jobs pay $2000 a day?

High-paying jobs that can earn $2000 or more per day often include roles such as senior financial traders, specialized consultants, senior software engineers, and certain executive positions. These roles typically require advanced skills, extensive experience, and often involve high-pressure environments or specialized knowledge in finance, technology, or management.

What is a Kdb Q job?

A Kdb Q job involves working with the Kdb+ time-series database and the Q programming language to handle large-scale data processing, analytics, and real-time querying. These roles are common in finance, particularly in trading, risk management, and market data analysis. Responsibilities may include designing efficient database structures, writing optimized Q code, and integrating Kdb+ with other systems. Strong knowledge of data structures, algorithms, and financial markets is often beneficial for success in this role.

Is KDB in demand?

KDB+ developers are in demand in industries such as finance and trading, where high-performance time-series data processing is essential. Skills in q programming, database management, and real-time analytics increase employability, especially in firms requiring fast data retrieval and analysis. The role often requires familiarity with Linux environments and strong quantitative skills.

What is KDB +/Q developer?

A KDB +/Q developer is a professional who specializes in developing, maintaining, and optimizing applications using the KDB+ database and the Q programming language. They typically work with time-series data, financial markets, and high-performance data analysis, requiring strong programming skills and knowledge of database architecture. These developers often collaborate with quantitative analysts and traders in finance or data-intensive industries.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or quantitative analysis can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-paying industries like finance or technology. Compensation often includes base salary, bonuses, and stock options, particularly at senior or executive levels.

What are some typical challenges faced by Kdb Q developers in a financial firm?

Kdb Q developers in financial firms often work with massive volumes of time-sensitive market data, requiring highly optimized and efficient code to ensure real-time analysis and reporting. They may face challenges such as maintaining system performance during peak trading hours, debugging complex queries, and integrating with other financial platforms or systems. Collaboration with traders, quantitative analysts, and infrastructure teams is common, making strong communication and teamwork essential. The role also involves continuously updating skills to keep pace with evolving data requirements and technology advancements. Successfully navigating these challenges enables Kdb Q developers to deliver robust and high-performance data solutions that directly support business goals.

What cities are hiring for Kdb Q jobs? Cities with the most Kdb Q job openings:
What are the most commonly searched types of Kdb Q jobs? The most popular types of Kdb Q jobs are:
What states have the most Kdb Q jobs? States with the most job openings for Kdb Q jobs include:
Infographic showing various Kdb Q job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 8% Full Time, 76% Part Time, and 8% Temporary. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $121,875 per year, or $58.6 per hour.
Data Engineer

Data Engineer

Compunnel

Jersey City, NJ • On-site

$119K - $143K/yr

Contractor

Posted 6 days ago


Job description

JOB SUMMARY
We are seeking a highly experienced software engineer to lead the design and development of next-generation trading systems. This is a hands-on technical leadership role focused on building scalable, resilient, and high-performance trading infrastructure. You'll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment.
Key Responsibilities
• Design, develop, and optimize KDB+ databases and q analytics for high-volume trading and market data.
• Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation.
• Apply machine learning techniques to time-series data (feature engineering, model training, evaluation).
• Build research and backtesting frameworks integrating AI models with historical data.
• Translate quantitative and ML research into robust, production-ready systems.
• Integrate AI models into real-time and batch pipelines.
• Optimize analytics and model evaluation for performance, stability, and scalability.
• Collaborate with quants, product owners, and engineering teams on model deployment and monitoring.
• Support production systems and participate in on-call rotations, including occasional weekend support.
Required Qualifications
• Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.
• 10+ years professional experience in quantitative finance or trading systems.
• Advanced proficiency in KDB+/q, including time-series data modeling, high-performance querying and joins, and real-time and historical analytics.
• Strong Python skills for quantitative analysis, AI / ML model development, and integration with KDB+ and downstream systems.
• Experience working with large-scale, high-frequency, or noisy datasets.
• Solid software engineering practices (Git, testing, modular design).
• Hands-on experience in AWS or other cloud platforms.
• Experience in Linux, shell scripting, and production support.
Preferred Qualifications
• Worked with AI developer assist tools (e.g. GitHub Copilot).
• Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
• Familiarity with object-oriented programming languages such as Java.
• A strong quantitative mindset with practical AI application skills.
• Ability to bridge research, machine learning, and production systems.
• Comfort working on front-office or research-critical infrastructure.
• Clear communicator with quants, traders, and engineers.
Certifications

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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